VDCNN
pytorch2keras
| VDCNN | pytorch2keras | |
|---|---|---|
| 1 | 2 | |
| 171 | 846 | |
| - | - | |
| 10.0 | 0.0 | |
| almost 2 years ago | over 1 year ago | |
| Python | Python | |
| - | MIT License |
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VDCNN
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[D] Is it possible for us to make fixed-size multilayer perceptrons (MLP's) provably converge?
Code for https://arxiv.org/abs/1502.01852 found: https://github.com/zonetrooper32/VDCNN
pytorch2keras
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Help Needed: Converting PlantNet-300k Pretrained Model Weights from Tar to h5 Format Help
It's almost certainly a pickled pytorch model so you will first need to load it using pytorch and then write it out to h5 (legacy keras format) with https://github.com/gmalivenko/pytorch2keras.
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Is Pytorch good deployment wise?
But of course, you can always train a model with one framework and run inference with another. For instance, pytorch2keras does exactly this.
What are some alternatives?
NudeNet - Neural Nets for Nudity Detection and Censoring
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.
onnx-tensorflow - Tensorflow Backend for ONNX
cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images
TensorFlow-object-detection-tutorial - The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
keras-onnx - Convert tf.keras/Keras models to ONNX
ModelZoo.pytorch - Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
sparseml - Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
deepvision - PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, etc.